Groovify Transforms Looks into Music with Artificial Intelligence
Laura McQuarrie — August 8, 2024 — Tech
References: fashionunited.uk
A research group at LCI Barcelona is exploring the relationship between personal style and music for self-expression with Groovify, an AI tool that generates playlists based on appearance. According to LCI, Groovify "analyzes a simple photograph of a person to extract data such as the clothes they are wearing, their facial expression and their posture. With this information, a playlist is created with songs personalized for that individual."
Groovify analyzes clothing styles by detecting visual codes and correlates this information with a broad music database from the Sonar Festival, spanning three decades. The AI-powered app also generates a rhythm and sounds that represent the look of the photographed user, and pays homage to vinyl albums with a fictitious cover.
Groovify analyzes clothing styles by detecting visual codes and correlates this information with a broad music database from the Sonar Festival, spanning three decades. The AI-powered app also generates a rhythm and sounds that represent the look of the photographed user, and pays homage to vinyl albums with a fictitious cover.
Trend Themes
1. Style-based Music Personalization - AI-driven platforms like Groovify that create music playlists based on personal appearance are transforming the way individuals interact with their musical preferences.
2. Fashion-music Convergence - New tools that interpret clothing style into music genres are bridging the gap between the fashion and music industries, offering unique cross-disciplinary collaborations.
3. AI-generated Rhythms - Innovative applications that use artificial intelligence to generate distinct musical rhythms and sounds from visual cues are redefining personalized listening experiences.
Industry Implications
1. Fashion Tech - The intersection of fashion and technology, especially with AI applications like Groovify, is paving the way for new forms of self-expression and consumer engagement.
2. Music Streaming - Music streaming services that integrate AI for hyper-personalized experiences through non-traditional data points, such as user appearance, highlight a shift toward more tailored content delivery.
3. Artificial Intelligence - AI-driven innovations that link visual analysis with auditory output, as seen with Groovify, are expanding the applications and perceived capabilities of AI in creative fields.
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